Snapshot of Children with Medicaid by Race and Ethnicity, 2018 by Tricia Brooks and Allexa Gardner Medicaid and the Children’s Health Insurance Program (CHIP) are primary sources of health coverage for low-income children, especially for children of color because they are more likely to be economically disadvantaged. As such, these sources of health insurance offer an opportunity to assess and address existing health disparities. In this analysis, we use the U.S. Office of Management Budget (OMB) standards for reporting race separate from ethnicity. People of any race may be of any ethnic origin and vice versa. The majority of children with Medicaid (56.8 percent) identify as White although they comprise two-thirds of the child population (66.6 percent). Figure 1 shows the disproportionate reliance on Medicaid for Black, other or multi-racial, and Latino children, in particular. Black children make up 14 percent of the child population but represent 20.8 percent of children with Medicaid. Likewise, children who report “other” or “multiple races” represent 13.3 percent of the child population but 17.5 percent of children with Medicaid. With respect to ethnicity, 25.3 percent of children identify as Latino but make up 36 percent of children with Medicaid. Appendix tables 1 and 2 provide these data for all 50 states and Washington, D.C. Figure 1. Share of Total U.S. Child Population and Share of Children Covered by Medicaid by Race and Ethnicity, 2018 74.7% 66.6% 64% 56.8% Share of total child population Share of all children with Medicaid 36% 25.3% 20.8% 17.5% 14% 13.3% 5.1% 3.4% 1.0% 1.5% AI/AN Asian/NHOPI Black Other/Multi-racial White Latino Non-Latino July 2020 CCF.GEORGETOWN.EDU SNAPSHOT OF CHILDREN WITH MEDICAID BY RACE AND ETHNICITY 1 Another way of assessing the importance of Medicaid to children of color is to look at the share of children within a particular race or ethnicity with Medicaid or CHIP coverage as shown in Figure 2. More than half of children who identify as American Indian or Alaska Native (AI/AN), Black, other or multi-racial, or Latino rely on Medicaid as their source of health insurance. Appendix table 3 provides these data for all 50 states and D.C. Figure 2. Share of Children by Race/Ethnicity with Medicaid, 2018 56.1% 57.1% 54.7% 50.7% 32.8% 32.9% 25.5% AI/AN Asian/NHOPI Black Other/Multi-racial White Latino Non-Latino Methodology Data Source: Georgetown University Center for coverage: employment-based insurance, insurance Children and Families analysis of the 2018 American purchased directly, Medicare, Medicaid, TRICARE, VA Community Survey Public Use Microdata Set. health care, Indian Health Service, and any of type of health insurance. People may report more than one type Race and Ethnicity: The Census Bureau follows a two- of insurance. We include individuals reporting Medicaid question format for capturing race and ethnicity data only or in combination with another source as having according to U.S. Office of Management and Budget Medicaid in this analysis. Previous research has shown guidelines. These data are based on self-identification. that these surveys undercount Medicaid participation. People may choose to report more than one race group. Race data is reported as American Indian or Native We suppressed data where the relative standard of Alaskan (AI/AN), Asian, combined in this report with error is greater than 30 percent but we did not conduct Native Hawaiian and other Pacific Islander (NHOPI), significance testing. Thus, the difference between the Black, other or multi-racial, and White. People of any share of children in the total population and the share race may be of any ethnic origin. Ethnicity is reported as with Medicaid—particularly for small populations of AI/AN Latino or non-Latino. and Asian combined with NHOPI groups—may not be statistically significant. Health Insurance: The Census Bureau asks each respondent to indicate yes or no to eight sources of 2 SNAPSHOT OF CHILDREN WITH MEDICAID BY RACE AND ETHNICITY CCF.GEORGETOWN.EDU July 2020 Differences from Previous Reports: CCF published data. Looking at race and ethnicity separately, according data on race and ethnicity from the 2015 and 2016 to OMB standards, provides a more complete picture American Community Surveys. Those data were based of the importance of Medicaid as a source of coverage on analysis conducted by the University of Minnesota based on both race and ethnicity. Additionally, we have State Health Access Data Assistance Center (SHADAC) published specific reports on AI/AN and Latino children. and the Annie E. Casey Kids Count data. Both sources In those reports, the data sources were the American reported total Latino data but excluded any person Community Survey Factfinder tables and the Integrated identifying as Latino from the race data. For example, an Public Use Microdata Set (IPUMS), and may differ from individual self-identifying as Black and Latino would be the findings in this brief. included in the Latino data and excluded from the Black Acknowledgements The author would like to thank Joan Alker and Phyllis Jordan for their contributions to this brief. Design and layout provided by Nancy Magill. The Georgetown University Center for Children and Families (CCF) is an independent, nonpartisan policy and research center founded in 2005 with a mission to expand and improve high-quality, affordable health coverage for America’s children and families. CCF is based in the McCourt School of Public Policy’s Health Policy Institute. July 2020 CCF.GEORGETOWN.EDU SNAPSHOT OF CHILDREN WITH MEDICAID BY RACE AND ETHNICITY 3 Appendix Table 1: Share of Total Child Population and Share of Children Covered by Medicaid by Race, 2018 American Indian or Asian, Hawaiian Native, or Black Other or Multi-Race White Alaska Native Other Pacific Islander Share of Share of Share of Share of Share of Total Child Children with Share of Children with Share of Children with Share of Children with Share of Children with Share of Children with Population Medicaid Population Medicaid Population Medicaid Population Medicaid Population Medicaid Population Medicaid United States 77,702,449 29,851,459 1.0% 1.5% 5.1% 3.4% 14.0% 20.8% 13.3% 17.5% 66.6% 56.8% Alabama 1,157,588 505,112 0.3% 0.4% 1.3% 0.6% 30.1% 42.6% 6.7% 9.7% 61.6% 46.7% Alaska 193,607 63,873 21.4% 38.2% 6.8% 9.2% 3.6% NA 14.8% 13.6% 53.4% 35.8% Arizona 1,740,510 690,348 6.1% 9.1% 2.8% 1.5% 5.4% 6.2% 13.3% 14.1% 72.4% 69.0% Arkansas 746,302 391,162 0.8% .5% 1.8% 1.2% 17.9% 25.4% 9.9% 12.2% 69.6% 60.6% California 9,500,106 4,070,732 0.7% 0.9% 11.9% 7.1% 5.5% 6.5% 26.4% 31.7% 55.5% 53.9% Colorado 1,346,994 448,277 1.0% 1.8% 3.1% 2.4% 4.4% 6.4% 11.9% 17.6% 79.5% 71.8% Connecticut 785,285 277,749 NA NA 4.7% 3.1% 12.7% 19.3% 14.9% 25.5% 67.3% 51.4% Delaware 214,695 84,350 NA NA 4.1% NA 27.0% 34.9% 9.2% 13.3% 59.6% 47.8% District of Columbia 138,139 66,531 NA NA 1.9% NA 54.1% 80.1% 13.5% 14.1% 30.4% 4.9% Florida 4,484,648 1,859,484 0.3% 0.3% 2.6% 1.5% 20.5% 28.1% 10.4% 11.4% 66.2% 58.7% Georgia 2,668,570 1,031,341 0.5% 0.7% 4.1% 2.1% 33.5% 45.6% 9.5% 12.2% 52.5% 39.4% Hawaii 317,916 101,752 NA NA 38.0% 37.8% 1.5% NA 43.3% 51.7% 17.1% 9.6% Idaho 471,732 171,003 1.3% 2.3% 1.5% NA 0.9% 2.2% 8.8% 13.7% 87.4% 81.3% Illinois 3,024,169 1,102,449 0.2% 0.3% 5.0% 3.3% 15.1% 24.7% 13.1% 19.5% 66.6% 52.1% Indiana 1,659,069 566,589 0.2% NA 2.4% 2.0% 11.3% 18.5% 9.1% 13.2% 77.0% 66.2% Iowa 777,009 281,512 0.4% 0.7% 2.8% 2.6% 5.0% 9.6% 5.8% 10.0% 86.0% 77.0% Kansas 746,588 223,412 0.9% 1.9% 2.6% 1.8% 6.2% 12.3% 10.8% 17.8% 79.4% 66.2% Kentucky 1,062,595 461,926 NA NA 1.6% 1.5% 8.6% 12.1% 7.6% 8.6% 82.1% 77.5% Louisiana 1,160,628 616,639 0.5% 0.5% 1.4% 1.0% 36.1% 51.5% 7.3% 8.2% 54.8% 38.8% Maine 263,619 86,708 0.7% 1.4% 1.3% NA 2.4% 5.5% 4.8% 7.7% 90.8% 85.1% Maryland 1,416,646 474,770 0.2% NA 6.1% 3.8% 30.5% 41.9% 14.9% 20.1% 48.4% 34.0% Massachusetts 1,467,006 505,061 NA NA 6.9% 4.9% 9.9% 17.2% 12.7% 21.4% 70.2% 56.0% Michigan 2,290,863 874,009 0.6% 0.8% 3.2% 1.7% 16.1% 27.1% 7.9% 10.9% 72.3% 59.6% Minnesota 1,368,812 425,616 1.4% 2.9% 5.4% 5.8% 9.8% 22.6% 9.7% 14.0% 73.7% 54.7% Mississippi 754,065 369,366 0.5% 0.7% 0.8% NA 42.5% 58.1% 4.8% 4.7% 51.4% 36.1% Missouri 1,442,081 485,340 0.3% NA 2.1% 1.1% 13.2% 21.5% 7.1% 11.3% 77.3% 65.8% Montana 239,654 100,301 9.5% 14.7% NA NA NA NA 6.9% 8.4% 82.8% 76.1% Nebraska 502,707 141,157 1.3% 3.1% 2.2% 2.6% 4.7% 8.2% 11.0% 18.3% 80.7% 67.7% Nevada 720,446 256,311 1.6% 2.2% 6.2% 3.9% 10.2% 16.4% 26.0% 32.3% 55.9% 45.2% New Hampshire 278,625 82,972 NA NA 3.5% 3.5% 1.9% 2.9% 5.6% 9.3% 88.9% 83.7% New Jersey 2,055,154 632,282 0.3% NA 9.4% 4.4% 14.5% 22.9% 14.6% 24.7% 61.2% 47.5% New Mexico 511,221 285,060 11.8% 16.6% 1.7% 1.0% 1.6% 1.1% 12.4% 13.3% 72.6% 68.1% New York 4,305,171 1,792,797 0.5% 0.6% 7.6% 7.4% 16.6% 21.2% 17.4% 25.4% 57.8% 45.3% North Carolina 2,449,931 1,018,526 1.2% 1.7% 3.2% 2.2% 22.7% 32.3% 11.8% 16.3% 61.0% 47.5% North Dakota 182,402 39,153 7.9% 21.7% 2.4% NA 3.4% 11.2% 5.6% NA 80.6% 57.7% Ohio 2,742,922 1,011,657 0.2% 0.3% 2.4% 1.4% 14.2% 25.6% 8.2% 12.5% 75.0% 60.1% Oklahoma 1,012,358 420,071 9.6% 10.8% 1.8% 0.9% 7.7% 11.1% 17.7% 19.3% 63.2% 57.8% Oregon 922,650 370,252 1.3% 1.8% 4.7% 3.0% 2.4% 3.6% 13.8% 16.6% 77.9% 75.0% Pennsylvania 2,810,842 1,045,110 0.2% NA 3.7% 3.5% 13.2% 22.8% 9.4% 14.4% 73.4% 59.2% Rhode Island 216,781 83,552 NA NA 3.9% NA 9.6% 14.6% 14.1% 21.5% 72.3% 61.2% South Carolina 1,179,401 509,955 0.5% 0.7% 1.5% 0.5% 29.7% 45.3% 8.2% 10.0% 60.1% 43.5% South Dakota 227,197 65,526 13.3% 32.6% 0.9% NA 3.2% 6.6% 6.8% 12.6% 75.8% 48.1% Tennessee 1,598,043 686,471 0.2% NA 1.8% 1.0% 19.0% 25.5% 7.2% 9.2% 71.7% 64.1% Texas 7,829,922 3,005,365 .5% 0.6% 4.4% 2.2% 12.4% 15.9% 11.3% 13.0% 71.4% 68.4% Utah 981,756 166,027 1.1% 1.9% 2.2% 2.3% 1.6% 3.1% 11.9% 19.7% 83.2% 73.1% Vermont 122,839 50,197 NA NA NA NA NA NA 4.6% NA 91.8% 93.4% Virginia 1,989,361 535,175 0.2% NA 6.1% 3.2% 20.1% 32.9% 11.8% 14.1% 61.7% 49.6% Washington 1,747,807 692,570 1.6% 2.4% 7.9% 5.7% 4.3% 6.2% 19.0% 25.6% 67.2% 60.0% West Virginia 386,971 182,216 NA NA 0.7% NA 3.9% 4.1% 5.4% 8.5% 89.9% 87.1% Wisconsin 1,349,063 415,732 0.8% 1.3% 3.0% 3.3% 9.2% 18.8% 9.4% 13.7% 77.7% 62.9% Wyoming 139,983 27,913 4.0% 9.1% NA NA NA NA 6.7% 13.0% 88.7% 76.6% Source: Georgetown University Center for Children and Families analysis of the 2018 American Community Survey Public Use Microdata Set. Notes: We did not conduct significance testing. In states with small child populations by race, the difference between the share of children in the total population and the share with Medicaid may not be statistically significant. NA: Estimate not reported because relative standard error is greater than 30 percent. As a result, totals may not equal 100 percent. 4 SNAPSHOT OF CHILDREN WITH MEDICAID BY RACE AND ETHNICITY CCF.GEORGETOWN.EDU July 2020 Appendix Table 2: Share of Child Population and Share of Children with Medicaid by Ethnicity, 2018 Latino Non-Latino Total Child Children with Population Medicaid Share of Population Share of Children with Medicaid Share of Population Share of Children with Medicaid United States 77,702,449 29,851,459 25.3% 36.0% 74.7% 64.0% Alabama 1,157,588 505,112 7.5% 11.1% 92.5% 88.9% Alaska 193,607 63,873 9.5% 7.0% 90.5% 93.0% Arizona 1,740,510 690,348 44.6% 59.2% 55.4% 40.8% Arkansas 746,302 391,162 12.2% 14.6% 87.8% 85.4% California 9,500,106 4,070,732 52.0% 69.9% 48.0% 30.1% Colorado 1,346,994 448,277 31.4% 49.5% 68.6% 50.5% Connecticut 785,285 277,749 24.5% 45.6% 75.5% 54.4% Delaware 214,695 84,350 15.6% 22.7% 84.4% 77.3% District of Columbia 138,139 66,531 17.3% 18.4% 82.7% 81.6% Florida 4,484,648 1,859,484 31.8% 38.4% 68.2% 61.6% Georgia 2,668,570 1,031,341 14.8% 20.3% 85.2% 79.7% Hawaii 317,916 101,752 18.5% 22.3% 81.5% 77.7% Idaho 471,732 171,003 18.2% 28.8% 81.8% 71.2% Illinois 3,024,169 1,102,449 24.9% 37.2% 75.1% 62.8% Indiana 1,659,069 566,589 11.0% 16.6% 89.0% 83.4% Iowa 777,009 281,512 10.0% 17.0% 90.0% 83.0% Kansas 746,588 223,412 18.1% 29.8% 81.9% 70.2% Kentucky 1,062,595 461,926 6.0% 7.7% 94.0% 92.3% Louisiana 1,160,628 616,639 6.8% 7.9% 93.2% 92.1% Maine 263,619 86,708 2.5% 1.3% 97.5% 98.7% Maryland 1,416,646 474,770 15.8% 23.2% 84.2% 76.8% Massachusetts 1,467,006 505,061 18.7% 36.0% 81.3% 64.0% Michigan 2,290,863 874,009 8.3% 11.8% 91.7% 88.2% Minnesota 1,368,812 425,616 8.6% 15.2% 91.4% 84.8% Mississippi 754,065 369,366 4.4% 4.5% 95.6% 95.5% Missouri 1,442,081 485,340 6.4% 7.8% 93.6% 92.2% Montana 239,654 100,301 5.4% 6.7% 94.6% 93.3% Nebraska 502,707 141,157 17.8% 29.1% 82.2% 70.9% Nevada 720,446 256,311 41.1% 52.3% 58.9% 47.7% New Hampshire 278,625 82,972 6.2% 10.0% 93.8% 90.0% New Jersey 2,055,154 632,282 27.3% 46.7% 72.7% 53.3% New Mexico 511,221 285,060 60.6% 66.3% 39.4% 33.7% New York 4,305,171 1,792,797 25.0% 37.0% 75.0% 63.0% North Carolina 2,449,931 1,018,526 16.2% 24.6% 83.8% 75.4% North Dakota 182,402 39,153 4.7% 7.0% 95.3% 93.0% Ohio 2,742,922 1,011,657 6.1% 8.8% 93.9% 91.2% Oklahoma 1,012,358 420,071 17.4% 25.6% 82.6% 74.4% Oregon 922,650 370,252 22.0% 35.6% 78.0% 64.4% Pennsylvania 2,810,842 1,045,110 12.5% 20.4% 87.5% 79.6% Rhode Island 216,781 83,552 25.6% 45.3% 74.4% 54.7% South Carolina 1,179,401 509,955 9.3% 11.6% 90.7% 88.4% South Dakota 227,197 65,526 5.5% 9.6% 94.5% 90.4% Tennessee 1,598,043 686,471 9.7% 13.7% 90.3% 86.3% Texas 7,829,922 3,005,365 49.5% 64.8% 50.5% 35.2% Utah 981,756 166,027 17.8% 30.1% 82.2% 69.9% Vermont 122,839 50,197 2.5% 1.5% 97.5% 98.5% Virginia 1,989,361 535,175 13.8% 20.2% 86.2% 79.8% Washington 1,747,807 692,570 21.2% 36.3% 78.8% 63.7% West Virginia 386,971 182,216 1.8% 2.3% 98.2% 97.7% Wisconsin 1,349,063 415,732 11.8% 20.4% 88.2% 79.6% Wyoming 139,983 27,913 14.6% 27.7% 85.4% 72.3% Source: Georgetown University Center for Children and Families analysis of the 2018 American Community Survey Public Use Microdata Set. July 2020 CCF.GEORGETOWN.EDU SNAPSHOT OF CHILDREN WITH MEDICAID BY RACE AND ETHNICITY 5 Appendix Table 3: Share of Children by Race and Ethnicity with Medicaid, 2018 By Race By Ethnicity Asian, Native Alaska Native Hawaiian and Other Other or Total Child Children with American Indian Pacific Islander Multiple Population Medicaid (AI/AN) (NHOPI) Black Races White Latino Non-Latino United States 77,702,449 29,851,459 56.1% 25.5% 57.1% 50.7% 32.8% 54.7% 32.9% Alabama 1,157,588 505,112 50.5% 19.3% 61.8% 63.4% 33.1% 65.2% 41.9% Alaska 193,607 63,873 58.9% 44.9% NA 30.3% 22.1% 24.2% 33.9% Arizona 1,740,510 690,348 59.6% 20.8% 45.5% 42.2% 37.8% 52.7% 29.2% Arkansas 746,302 391,162 35.6% 35.6% 74.3% 64.3% 45.7% 62.6% 51.0% California 9,500,106 4,070,732 58.1% 25.4% 50.8% 51.4% 41.6% 57.6% 26.9% Colorado 1,346,994 448,277 59.1% 25.3% 48.2% 49.1% 30.0% 52.5% 24.5% Connecticut 785,285 277,749 NA 23.3% 53.8% 60.5% 27.0% 65.9% 25.5% Delaware 214,695 84,350 NA NA 50.8% 57.1% 31.5% 57.4% 36.0% District of Columbia 138,139 66,531 NA NA 71.3% 50.2% 7.8% 51.4% 47.5% Florida 4,484,648 1,859,484 47.4% 23.7% 56.8% 45.6% 36.7% 50.1% 37.4% Georgia 2,668,570 1,031,341 56.6% 20.3% 52.6% 49.9% 29.0% 53.0% 36.2% Hawaii 317,916 101,752 NA 31.9% NA 38.2% 18.0% 38.6% 30.5% Idaho 471,732 171,003 62.8% NA 87.5% 56.1% 33.7% 57.3% 31.6% Illinois 3,024,169 1,102,449 48.2% 24.1% 59.8% 54.2% 28.5% 54.6% 30.4% Indiana 1,659,069 566,589 NA 27.8% 55.7% 49.9% 29.3% 51.6% 32.0% Iowa 777,009 281,512 61.1% 34.4% 69.9% 62.4% 32.4% 61.7% 33.4% Kansas 746,588 223,412 61.7% 20.0% 59.4% 49.3% 24.9% 49.3% 25.6% Kentucky 1,062,595 461,926 NA 41.1% 61.6% 49.3% 41.1% 55.8% 42.7% Louisiana 1,160,628 616,639 50.9% 40.1% 75.9% 59.4% 37.6% 61.4% 52.5% Maine 263,619 86,708 68.4% NA 76.6% 52.2% 30.8% 17.6% 33.3% Maryland 1,416,646 474,770 NA 20.8% 46.0% 45.4% 23.6% 49.3% 30.6% Massachusetts 1,467,006 505,061 NA 24.7% 59.9% 57.8% 27.5% 66.4% 27.1% Michigan 2,290,863 874,009 48.2% 20.3% 64.1% 53.0% 31.4% 54.5% 36.7% Minnesota 1,368,812 425,616 63.8% 33.7% 71.6% 44.8% 23.1% 55.2% 28.8% Mississippi 754,065 369,366 59.2% NA 67.0% 47.9% 34.4% 49.6% 49.0% Missouri 1,442,081 485,340 NA 17.9% 55.0% 53.2% 28.7% 41.1% 33.1% Montana 239,654 100,301 64.5% NA NA 50.6% 38.5% 51.2% 41.3% Nebraska 502,707 141,157 64.8% 33.7% 49.1% 46.6% 23.6% 45.8% 24.2% Nevada 720,446 256,311 47.2% 22.4% 57.3% 44.1% 28.8% 45.3% 28.8% New Hampshire 278,625 82,972 NA 30.5% 46.3% 49.0% 28.0% 48.2% 28.6% New Jersey 2,055,154 632,282 NA 14.4% 48.6% 52.1% 23.9% 52.6% 22.6% New Mexico 511,221 285,060 78.5% 33.2% 38.6% 59.6% 52.3% 61.0% 47.7% New York 4,305,171 1,792,797 52.7% 40.7% 53.1% 60.7% 32.6% 61.7% 35.0% North Carolina 2,449,931 1,018,526 59.2% 28.0% 59.2% 57.3% 32.4% 63.2% 37.4% North Dakota 182,402 39,153 58.5% NA 70.7% NA 15.4% 31.9% 20.9% Ohio 2,742,922 1,011,657 69.8% 21.7% 66.3% 56.4% 29.6% 53.2% 35.8% Oklahoma 1,012,358 420,071 46.6% 20.3% 60.4% 45.4% 37.9% 61.2% 37.3% Oregon 922,650 370,252 57.2% 25.8% 60.2% 48.4% 38.6% 65.1% 33.1% Pennsylvania 2,810,842 1,045,110 NA 34.6% 64.1% 56.8% 29.9% 60.8% 33.8% Rhode Island 216,781 83,552 NA NA 58.7% 59.0% 32.6% 68.3% 28.3% South Carolina 1,179,401 509,955 56.6% 15.1% 66.0% 52.8% 31.3% 54.1% 42.1% South Dakota 227,197 65,526 70.8% NA 59.7% 53.2% 18.3% 50.3% 27.6% Tennessee 1,598,043 686,471 NA 24.4% 57.5% 55.0% 38.4% 60.9% 41.0% Texas 7,829,922 3,005,365 40.2% 18.9% 49.1% 44.2% 36.8% 50.3% 26.8% Utah 981,756 166,027 29.4% 17.1% 32.1% 28.1% 14.9% 28.7% 14.4% Vermont 122,839 50,197 NA NA NA NA 41.6% 25.3% 41.3% Virginia 1,989,361 535,175 NA 14.1% 44.0% 32.2% 21.6% 39.5% 24.9% Washington 1,747,807 692,570 60.2% 28.3% 57.1% 53.5% 35.4% 67.9% 32.0% West Virginia 386,971 182,216 NA NA 49.0% 73.5% 45.7% 59.0% 46.9% Wisconsin 1,349,063 415,732 50.9% 34.6% 63.1% 45.0% 24.9% 53.5% 27.8% Wyoming 139,983 27,913 45.6% NA NA 38.6% 17.2% 37.8% 16.9% Source: Georgetown University Center for Children and Families analysis of the 2018 American Community Survey Public Use Microdata Set. Notes: We did not conduct significance testing. In states with small child populations by race, the difference between the share of children in the total population and the share with Medicaid may not be statistically significant. NA: Estimate not reported because relative standard error is greater than 30 percent. As a result, totals may not equal 100 percent. 6 SNAPSHOT OF CHILDREN WITH MEDICAID BY RACE AND ETHNICITY CCF.GEORGETOWN.EDU July 2020